709 search results - page 8 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
ML
2002
ACM
13 years 7 months ago
2002
ACM
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
ML
2010
ACM
13 years 5 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
IJON
2006
13 years 7 months ago
2006
Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regres...
TITB
2008
13 years 7 months ago
2008
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...